Replication Materials for 2025 German Federal Election Forecast

Replication materials support the paper 'A Political History Forecast of Bloc Support in the 2025 German Federal Election' by Quinlan, Schnaudt, and Lewis-Beck. The data was published in 2025 and deposited by Dr. Stephen Quinlan at Harvard Dataverse. It was last updated on January 20, 2026.

Use Cases

• Replicate the political history forecast model for bloc support in the 2025 German federal election.
• Analyze the relationship between historical political variables and forecasted election outcomes.
• Validate the methodological approach and results presented in the associated Political Science & Politics journal article.

Strengths

• Directly supports a peer-reviewed publication in Political Science & Politics (2025).
• Authored by named researchers (Quinlan, Schnaudt, and Lewis-Beck) and deposited by Dr. Stephen Quinlan.
• Maintained on the Harvard Dataverse platform, last updated in January 2026.

Limitations

• Specific data structure, variables, and file formats are not described in the provided input.
• The volume of data (rows, columns, size) is unknown, limiting assessment of analytical scope.
• As replication data for a specific paper, its utility may be confined to verification and extension of that study.

Provenance

Source

Harvard Dataverse, deposited by Dr. Stephen Quinlan.

Collection Method

Created as replication materials for a published academic paper.

Time Range

Related to the 2025 German Federal Election forecast.

Freshness

Last updated on 2026-01-20.

Geography

Germany.